Senior Data Engineer (Python)
Role Overview
This senior-level role involves architecting and scaling data foundations for a high-growth client product. Day to day, you'll build and maintain scalable ELT/ETL pipelines, implement CI/CD and monitoring, optimize warehouse costs, and partner with data scientists to translate business requirements into data models. You will have a significant impact on ensuring data integrity and reliability as a single source of truth.
Perks & Benefits
Enjoy fully remote work with a worldwide team and consistent 8-hour working days for work-life balance. Benefits include up to 24 flex days off per year, on-time monthly payments with flexible withdrawal options, and access to exclusive long-term positions at cutting-edge companies. Proxify handles matching and assessments for a streamlined process.
Full Job Description
Headquarters: Sweden URL: http://career.proxify.io
The Role:
We are looking for a Senior Data Engineer to architect and scale the data foundations for one of our high-growth client products. The ideal candidate is a Python expert who treats data infrastructure as software, implementing CI/CD, unit testing, and observability into every layer of the modern data stack. You are a perfect candidate if you are growth-oriented, you love what you do, and you enjoy working on new ideas to develop exciting products.
What we re looking for:
5+ years of experience building complex data processing applications using Python (Pandas, PySpark, or Dask).
Advanced SQL skills for complex transformations, window functions, and query optimization in cloud warehouses.
Deep experience with dbt (data build tool) for managing the T in ELT, including documentation and testing.
Proven experience with Apache Airflow, Prefect, or Dagster for managing complex dependency graphs.
Hands-on experience with Snowflake, BigQuery, or AWS Redshift.
Strong understanding of Dimensional Modeling (Star/Snowflake schema) and Data Vault 2.0.
Experience with Git, Docker, and implementing CI/CD for data pipelines.
Nice-to-Have:
Experience building Real-time Pipelines using Kafka or Flink.
Familiarity with Data Contracts and Data Quality frameworks (Great Expectations, Monte Carlo).
Knowledge of Vector Databases (Pinecone, Milvus) for AI/LLM applications.
Infrastructure as Code (Terraform) experience.
Responsibilities:
Build and maintain scalable, automated ELT/ETL pipelines that provide a 'single source of truth' for the organization.
Implement rigorous automated testing and monitoring to ensure data integrity and reliability.
Optimize warehouse storage and compute costs while reducing pipeline latency.
Partner with Data Scientists and Product Managers to translate business requirements into technical data models.
Promote a 'DataOps' culture within the team, conducting code reviews and sharing best practices.
What we offer: Get paid, not played No more unreliable clients. Enjoy on-time monthly payments with flexible withdrawal options. Predictable project hours Enjoy a harmonious work-life balance with consistent 8-hour working days with clients. Flex days, so you can recharge Enjoy up to 24 flex days off per year without losing pay, for full-time positions found through Proxify. Career-accelerating positions at cutting-edge companies Discover exclusive long-term remote positions at the world's most exciting companies. Hand-picked opportunities just for you Skip the typical recruitment roadblocks and biases with personally matched positions. One seamless process, multiple opportunities A one-time contracting process for endless opportunities, with no extra assessments. Compensation Enjoy the same pay, every month with positions landed through Proxify.
To apply: https://weworkremotely.com/remote-jobs/proxify-ab-senior-data-engineer-python
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